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1841
Enhanced Hybrid Differential Evolution for Earth-Moon Low-Energy Transfer Trajectory Optimization
Published 2018-01-01“…It is known that the optimization of the Earth-Moon low-energy transfer trajectory is extremely sensitive with the initial condition chosen to search. …”
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1842
Fatigue Performance Optimization of the Wind Turbine Gearbox Transmission System Considering Environmental Parameters
Published 2023-08-01“…And then, a multi-stage gear modification parameter optimization function considering the probability distribution of wind speed is established and the optimizing fatigue performance is compared. …”
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1843
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1844
Structure Optimization of Mixed-Speed Train Traffic for Cyclic Timetable: Model and Algorithm Development
Published 2022-01-01“…Trains can be optimally spread over the period of the cyclic timetable. …”
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1845
System for PCB Defect Detection Using Visual Computing and Deep Learning for Production Optimization
Published 2023-01-01“…Furthermore, the proposed system conforms with the Industry 4.0 goal that process system digitization is essential to improve indicators and optimize production.…”
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1846
Comparative study on inversion of the unsaturated hydraulic parameters using optimization and Bayesian estimation methods
Published 2016-09-01“…Based on searching for one set of parameters that best fit the measurements, traditional optimization methods can not quantify the uncertainty of parameters. …”
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1847
An Evaluation of the Use of Simulated Annealing to Optimize Thinning Rates for Single Even-Aged Stands
Published 2015-01-01“…In conclusion, simulated annealing with optimized parameters is more efficient for optimizing thinning rates than random search. …”
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1848
Discrete Event Simulation Model Performed with Data Analytics for a Call Center Optimization
Published 2022-04-01“…Optimization models enable organizations to find the best solution and respond to the demand from an uncertain environment and stochastic process promptly and with less engineering effort. …”
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1849
Risk-Aware Vessel Scheduling and Routing Optimization with CVaR and LSTM-MSNet Prediction
Published 2025-01-01“…In particular, a hybrid demand prediction model, combining long short-term memory and multi-scale network techniques, predicts spot and contract container volumes at ports, facilitating real-time allocation and more precise scheduling optimization. Two hybrid heuristics, one adaptive large-neighborhood search algorithm, and the Gurobi solver are devised and compared based on the efficiency and accuracy of solving the model. …”
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1850
Improve the Intelligent Convenience of Multivariate Optimization of Concrete Mix Ratio and the Development of Corresponding Applications
Published 2024-01-01“…In order to be more efficient in the optimization of concrete mixture, a new intelligent optimization model of concrete mixture was established by using particle swarm optimization on the basis of the original optimization model, and the specific performance was fitted and predicted by using the support vector machine. …”
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1851
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1852
Mathematical model of optimal placement of a hybrid power plant with a combined cycle
Published 2021-05-01“…RESULTS - Province Albasra is characterized by a significantly higher level of electricity consumption in the region, as well as a more developed infrastructure. This, in general, predetermines the highest final rating among all the provinces of Iraq as the optimal region for the location of a ISCC. …”
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1853
KNOT OPTIMIZATION FOR BI-RESPONSE SPLINE NONPARAMETRIC REGRESSION WITH GENERALIZED CROSS-VALIDATION (GCV)
Published 2025-01-01“…The research results showed that the generalized-cross validation method is the best method for selecting nodes from other methods such as CV, AIC, BIC, RSS, or a more explicit validation-based approach method because of the development of the Cross Validation (CV) method which automatically selects the optimal number of nodes based on the balance between bias and variance. …”
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1854
Design and Optimization of Modular Solid Rocket Grain Matching Multi-Thrust Performance Curve
Published 2025-06-01“…Thirdly, the Nelder–Mead optimization algorithm is employed to maximize the propellant loading fraction and reduce the combustion chamber size. …”
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1855
Optimizing Dendritic Cell-Based Immunotherapy: Tackling the Complexity of Different Arms of the Immune System
Published 2012-01-01“…A better insight in DC immunobiology and function has stimulated many new ideas regarding the potential ways forward to improve DC therapy in a more fundamental way. Here, we discuss the continuous search for optimal in vitro conditions in order to generate clinical-grade DC with a potent immunogenic potential. …”
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1856
Optimization of Flame Retardant System For Bamboo Fiber Composites: Effect of Flame Retardant Content
Published 2025-12-01“…From an economic standpoint, compound flame retardants are the optimal solution for industrial flame-retardant material production. …”
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1857
Compact hydraulic humanoid robot design optimized for enhanced joint power and heat dissipation
Published 2025-07-01“…A hydraulic pelvis is designed to make the robot more compact by integrating hydraulic circuits with mechanical structures. …”
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1858
Optimizing electrical stimulation parameters to enhance visual cortex activation in retina degeneration rats
Published 2025-07-01“…Among these, epiretinal prostheses have shown encouraging preliminary clinical efficacy; however, optimizing stimulation parameters remains essential for improving efficiency and reducing power consumption. …”
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1859
Efficient Conical Area Differential Evolution with Biased Decomposition and Dual Populations for Constrained Optimization
Published 2019-01-01“…Experimental results on 24 benchmark test cases reveal that CADE is capable of resolving the constrained optimization problems more efficiently as well as producing solutions that are significantly competitive with other popular approaches.…”
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1860
Multi-Objective Optimization Techniques in Cloud Task Scheduling: A Systematic Literature Review
Published 2025-01-01“…Task scheduling in cloud computing environment aims to identify alternative methods for effectively allocating competing cloud tasks to constrained resources, optimizing one or more objectives. This systematic literature review (SLR) examines advancements in multi-objective optimization techniques for cloud task scheduling from year 2010 to October 2024, providing an up-to-date analysis of the field. …”
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